Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? Accurate classification of microsatellite instability (MSI ...

Abstract: Within the e-commerce sphere, optimizing the product classification process assumes pivotal importance, owing to its direct influence on operational efficiency and profitability. In this ...

A Machine Learning and Natural Language Processing (NLP) project designed to identify signs of depression and mental health risk from social media posts. The system analyzes textual content, extracts ...

The digital revolution and the resulting datafication of society have changed empirical social science research fundamentally. Enormous amounts of data can now be easily stored, managed and analyzed.

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First, Bayesian outcome-specific ensemble with outcome-specific sub-models provides a flexible framework for multi-class prediction, allowing specialized models to capture distinct outcome-generating ...